Aggregate Time Series Forecasting and Analysis Functions

Aggregate time series forecasting and analysis functions are OLAP-style aggregates designed exclusively for financial time series statistical analysis. As aggregates these functions accept many sets of input values and return a single result.

For information about OLAP and windowing aggregate functions, see System Administration Guide: Volume 2 > Using OLAP.

Related reference
TS_ARMA_AR Function [Aggregate]
TS_ARMA_CONST Function [Aggregate]
TS_ARMA_MA Function [Aggregate]
TS_AUTOCORRELATION Function [Aggregate]
TS_AUTO_ARIMA Function [Aggregate]
TS_AUTO_ARIMA_OUTLIER Function [Aggregate]
TS_AUTO_UNI_AR Function [Aggregate]
TS_BOX_COX_XFORM Function [Aggregate]
TS_DIFFERENCE Function [Aggregate]
TS_ESTIMATE_MISSING Function [Aggregate]
TS_GARCH Function [Aggregate]
TS_LACK_OF_FIT Function [Aggregate]
TS_LACK_OF_FIT_P Function [Aggregate]
TS_MAX_ARMA_AR Function [Aggregate]
TS_MAX_ARMA_CONST Function [Aggregate]
TS_MAX_ARMA_LIKELIHOOD Function [Aggregate]
TS_MAX_ARMA_MA Function [Aggregate]
TS_OUTLIER_IDENTIFICATION Function [Aggregate]
TS_VWAP Function [Aggregate]
TS_PARTIAL_AUTOCORRELATION Function [Aggregate]